Literature DB >> 31535151

The electrocardiogram endeavour: from the Holter single-lead recordings to multilead wearable devices supported by computational machine learning algorithms.

Panos Vardas1, Martin Cowie2, Nikolaos Dagres3, Dimitrios Asvestas4, Stylianos Tzeis4, Emmanuel P Vardas5, Gerhard Hindricks3, John Camm6.   

Abstract

This review aims to provide a comprehensive recapitulation of the evolution in the field of cardiac rhythm monitoring, shedding light in recent progress made in multilead ECG systems and wearable devices, with emphasis on the promising role of the artificial intelligence and computational techniques in the detection of cardiac abnormalities. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Electrocardiogram; Electrocardiography; Machine learning algorithms; Multilead wearable devices

Mesh:

Year:  2020        PMID: 31535151     DOI: 10.1093/europace/euz249

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  3 in total

Review 1.  The Role of Wearables in Heart Failure.

Authors:  Arvind Singhal; Martin R Cowie
Journal:  Curr Heart Fail Rep       Date:  2020-08

2.  Role of wearable rhythm recordings in clinical decision making-The wEHRAbles project.

Authors:  Martin Manninger; Jedrzej Kosiuk; David Zweiker; Mario Njeim; Bor Antolic; Bratislav Kircanski; Jacob M Larsen; Emma Svennberg; Philippe Vanduynhoven; David Duncker
Journal:  Clin Cardiol       Date:  2020-07-22       Impact factor: 2.882

Review 3.  Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives.

Authors:  Anastasia Xintarakou; Vasileios Sousonis; Dimitrios Asvestas; Panos E Vardas; Stylianos Tzeis
Journal:  Front Cardiovasc Med       Date:  2022-03-01
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.